Independent AI consulting & MVP engineering lab

AI that reaches production.

Process automation, custom integrations and MVP builds — scoped before we start, built across OpenAI, Anthropic and open-source models.

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Fixed scope, agreed in writing before any work begins.

Illustrative concept Systems topology
  • Fixed-scope packages
  • Model-agnostic
  • Direction or working software
  • Remote, direct engagements

Five ways to work with m00labs

Every package is fixed scope: the deliverable, the boundaries and the quote are agreed before work begins, and each quote is scoped to your workflow.

  • Entry

    AI Clarity Session

    A focused working session that tests candidate use cases against your real workflows and data, with an honest verdict on each and a written next-step summary.

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  • Roadmap

    AI Opportunity Audit + roadmap

    A fixed-scope audit of your operations that ranks the strongest AI opportunities by value and effort, and turns them into a build-ready roadmap.

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  • One workflow

    Automation & Integration Sprint

    One production workflow or integration, scoped with you and engineered end to end inside the tools you already run — with error handling, logging and monitoring included.

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  • Build

    MVP Build

    A working MVP with AI wired into your real data and systems: spec, architecture, build, tests, documentation and a production deployment.

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  • Ongoing

    ongoing AI Lab Partner

    A standing engagement that keeps your automations, integrations and products running well and improving — with regular strategy reviews and a defined build allocation.

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Compare all five packages in detail

Every engagement has a clear outcome

The way AI work is usually bought makes it hard to deliver. We changed the shape of the engagement: consulting ends in direction you can act on, builds end in software you can run.

01 / Scope

Fixed scope, written down

Every engagement starts with the scope agreed in writing: what we will deliver, what it will do, and what done looks like. You approve it before the work starts.

02 / Delivery

Builds finish in production

Build packages deliver working software in your environment — deployed with tests, documentation and a handover your team can operate.

03 / Models

Model-agnostic by default

We pick OpenAI, Anthropic or open-source models per problem — driven by your data, your workflows and your constraints, not by a vendor partnership.

04 / Team

Direct communication

Scoping, delivery and handover run as one continuous conversation, with the scope held in writing at every stage.

How an engagement runs

One path with a clear finish: consulting engagements end in an honest verdict and roadmap, build engagements end in working software. It starts with a low-commitment conversation.

  1. 01

    Tell us what you want to run

    A short conversation about the workflow, the tools you use and the outcome you need.

  2. 02

    Receive a scoped quote

    Where the work goes ahead, we map it to a package, write down what is in and out of scope, and send a quote for your approval.

  3. 03

    See the work take shape

    Consulting work happens in working sessions with a written readout; build work takes shape in demos you can steer as it develops.

  4. 04

    Finish with the outcome you need

    A consulting engagement ends with an honest verdict and a roadmap your team keeps; a build ends deployed in production, with documentation and a handover your team can operate.

Let's scope the work you need.

Not sure which package fits? Tell us what you are trying to run — the request is recorded, and hi@m00labs.com is the published email address.

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Email hi@m00labs.com